






"""simple docstring"""







import collections
import os
import re
from pathlib import Path


_UpperCamelCase	     =    """src/transformers"""


# Matches is_xxx_available()
_UpperCamelCase	     =    re.compile(R"""is\_([a-z_]*)_available()""")
# Catches a one-line _import_struct = {xxx}
_UpperCamelCase	     =    re.compile(R"""^_import_structure\s+=\s+\{([^\}]+)\}""")
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
_UpperCamelCase	     =    re.compile(R"""\s+\"\S*\":\s+\[([^\]]*)\]""")
# Catches a line if not is_foo_available
_UpperCamelCase	     =    re.compile(R"""^\s*if\s+not\s+is\_[a-z_]*\_available\(\)""")
# Catches a line _import_struct["bla"].append("foo")
_UpperCamelCase	     =    re.compile(R"""^\s*_import_structure\[\"\S*\"\]\.append\(\"(\S*)\"\)""")
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
_UpperCamelCase	     =    re.compile(R"""^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]""")
# Catches a line with an object between quotes and a comma:     "MyModel",
_UpperCamelCase	     =    re.compile(R"""^\s+\"([^\"]+)\",""")
# Catches a line with objects between brackets only:    ["foo", "bar"],
_UpperCamelCase	     =    re.compile(R"""^\s+\[([^\]]+)\]""")
# Catches a line with from foo import bar, bla, boo
_UpperCamelCase	     =    re.compile(R"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")
# Catches a line with try:
_UpperCamelCase	     =    re.compile(R"""^\s*try:""")
# Catches a line with else:
_UpperCamelCase	     =    re.compile(R"""^\s*else:""")

def _a					(						_snake_case				):







      """simple docstring"""






      if _re_test_backend.search(_snake_case				) is None:
            return None
      UpperCAmelCase							     =			[b[0] for b in _re_backend.findall(_snake_case				)]
      backends.sort()
      return "_and_".join(_snake_case				)

def _a					(						_snake_case				):







      """simple docstring"""






      with open(_snake_case ,			"""r""" ,			encoding="""utf-8""" ,			newline="""\n"""				) as f:
            UpperCAmelCase							     =			f.readlines()

      UpperCAmelCase							     =			0
      while line_index < len(_snake_case				) and not lines[line_index].startswith("""_import_structure = {"""				):
            line_index += 1

      # If this is a traditional init, just return.
      if line_index >= len(_snake_case				):
            return None

      # First grab the objects without a specific backend in _import_structure
      UpperCAmelCase							     =			[]
      while not lines[line_index].startswith("""if TYPE_CHECKING"""				) and find_backend(lines[line_index]				) is None:
            UpperCAmelCase							     =			lines[line_index]
            # If we have everything on a single line, let's deal with it.
            if _re_one_line_import_struct.search(_snake_case				):
                  UpperCAmelCase							     =			_re_one_line_import_struct.search(_snake_case				).groups()[0]
                  UpperCAmelCase							     =			re.findall(R"""\[([^\]]+)\]""" ,			_snake_case				)
                  for imp in imports:
                        objects.extend([obj[1:-1] for obj in imp.split(""", """				)]				)
                  line_index += 1
                  continue
            UpperCAmelCase							     =			_re_import_struct_key_value.search(_snake_case				)
            if single_line_import_search is not None:
                  UpperCAmelCase							     =			[obj[1:-1] for obj in single_line_import_search.groups()[0].split(""", """				) if len(_snake_case				) > 0]
                  objects.extend(_snake_case				)
            elif line.startswith(""" """ * 8 + """\""""				):
                  objects.append(line[9:-3]				)
            line_index += 1

      UpperCAmelCase							     =			{"""none""": objects}
      # Let's continue with backend-specific objects in _import_structure
      while not lines[line_index].startswith("""if TYPE_CHECKING"""				):
            # If the line is an if not is_backend_available, we grab all objects associated.
            UpperCAmelCase							     =			find_backend(lines[line_index]				)
            # Check if the backend declaration is inside a try block:
            if _re_try.search(lines[line_index - 1]				) is None:
                  UpperCAmelCase							     =			None

            if backend is not None:
                  line_index += 1

                  # Scroll until we hit the else block of try-except-else
                  while _re_else.search(lines[line_index]				) is None:
                        line_index += 1

                  line_index += 1

                  UpperCAmelCase							     =			[]
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]				) <= 1 or lines[line_index].startswith(""" """ * 4				):
                        UpperCAmelCase							     =			lines[line_index]
                        if _re_import_struct_add_one.search(_snake_case				) is not None:
                              objects.append(_re_import_struct_add_one.search(_snake_case				).groups()[0]				)
                        elif _re_import_struct_add_many.search(_snake_case				) is not None:
                              UpperCAmelCase							     =			_re_import_struct_add_many.search(_snake_case				).groups()[0].split(""", """				)
                              UpperCAmelCase							     =			[obj[1:-1] for obj in imports if len(_snake_case				) > 0]
                              objects.extend(_snake_case				)
                        elif _re_between_brackets.search(_snake_case				) is not None:
                              UpperCAmelCase							     =			_re_between_brackets.search(_snake_case				).groups()[0].split(""", """				)
                              UpperCAmelCase							     =			[obj[1:-1] for obj in imports if len(_snake_case				) > 0]
                              objects.extend(_snake_case				)
                        elif _re_quote_object.search(_snake_case				) is not None:
                              objects.append(_re_quote_object.search(_snake_case				).groups()[0]				)
                        elif line.startswith(""" """ * 8 + """\""""				):
                              objects.append(line[9:-3]				)
                        elif line.startswith(""" """ * 12 + """\""""				):
                              objects.append(line[13:-3]				)
                        line_index += 1

                  UpperCAmelCase							     =			objects
            else:
                  line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
      UpperCAmelCase							     =			[]
      while (
          line_index < len(_snake_case				)
          and find_backend(lines[line_index]				) is None
          and not lines[line_index].startswith("""else"""				)
      ):
            UpperCAmelCase							     =			lines[line_index]
            UpperCAmelCase							     =			_re_import.search(_snake_case				)
            if single_line_import_search is not None:
                  objects.extend(single_line_import_search.groups()[0].split(""", """				)				)
            elif line.startswith(""" """ * 8				):
                  objects.append(line[8:-2]				)
            line_index += 1

      UpperCAmelCase							     =			{"""none""": objects}
      # Let's continue with backend-specific objects
      while line_index < len(_snake_case				):
            # If the line is an if is_backend_available, we grab all objects associated.
            UpperCAmelCase							     =			find_backend(lines[line_index]				)
            # Check if the backend declaration is inside a try block:
            if _re_try.search(lines[line_index - 1]				) is None:
                  UpperCAmelCase							     =			None

            if backend is not None:
                  line_index += 1

                  # Scroll until we hit the else block of try-except-else
                  while _re_else.search(lines[line_index]				) is None:
                        line_index += 1

                  line_index += 1

                  UpperCAmelCase							     =			[]
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]				) <= 1 or lines[line_index].startswith(""" """ * 8				):
                        UpperCAmelCase							     =			lines[line_index]
                        UpperCAmelCase							     =			_re_import.search(_snake_case				)
                        if single_line_import_search is not None:
                              objects.extend(single_line_import_search.groups()[0].split(""", """				)				)
                        elif line.startswith(""" """ * 12				):
                              objects.append(line[12:-2]				)
                        line_index += 1

                  UpperCAmelCase							     =			objects
            else:
                  line_index += 1

      return import_dict_objects, type_hint_objects

def _a					(						_snake_case ,			_snake_case				):







      """simple docstring"""






      def find_duplicates(_snake_case				):
            return [k for k, v in collections.Counter(_snake_case				).items() if v > 1]

      if list(import_dict_objects.keys()				) != list(type_hint_objects.keys()				):
            return ["Both sides of the init do not have the same backends!"]

      UpperCAmelCase							     =			[]
      for key in import_dict_objects.keys():
            UpperCAmelCase							     =			find_duplicates(import_dict_objects[key]				)
            if duplicate_imports:
                  errors.append(F'''Duplicate _import_structure definitions for: {duplicate_imports}'''				)
            UpperCAmelCase							     =			find_duplicates(type_hint_objects[key]				)
            if duplicate_type_hints:
                  errors.append(F'''Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}'''				)

            if sorted(set(import_dict_objects[key]				)				) != sorted(set(type_hint_objects[key]				)				):
                  UpperCAmelCase							     =			"""base imports""" if key == """none""" else F'''{key} backend'''
                  errors.append(F'''Differences for {name}:'''				)
                  for a in type_hint_objects[key]:
                        if a not in import_dict_objects[key]:
                              errors.append(F'''  {a} in TYPE_HINT but not in _import_structure.'''				)
                  for a in import_dict_objects[key]:
                        if a not in type_hint_objects[key]:
                              errors.append(F'''  {a} in _import_structure but not in TYPE_HINT.'''				)
      return errors

def _a					(						):







      """simple docstring"""






      UpperCAmelCase							     =			[]
      for root, _, files in os.walk(_snake_case				):
            if "__init__.py" in files:
                  UpperCAmelCase							     =			os.path.join(_snake_case ,			"""__init__.py"""				)
                  UpperCAmelCase							     =			parse_init(_snake_case				)
                  if objects is not None:
                        UpperCAmelCase							     =			analyze_results(*_snake_case				)
                        if len(_snake_case				) > 0:
                              UpperCAmelCase							     =			F'''Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'''
                              failures.append("""\n""".join(_snake_case				)				)
      if len(_snake_case				) > 0:
            raise ValueError("""\n\n""".join(_snake_case				)				)

def _a					(						):







      """simple docstring"""






      UpperCAmelCase							     =			[]
      for path, directories, files in os.walk(_snake_case				):
            for folder in directories:
                  # Ignore private modules
                  if folder.startswith("""_"""				):
                        directories.remove(_snake_case				)
                        continue
                  # Ignore leftovers from branches (empty folders apart from pycache)
                  if len(list((Path(_snake_case				) / folder).glob("""*.py"""				)				)				) == 0:
                        continue
                  UpperCAmelCase							     =			str((Path(_snake_case				) / folder).relative_to(_snake_case				)				)
                  UpperCAmelCase							     =			short_path.replace(os.path.sep ,			"""."""				)
                  submodules.append(_snake_case				)
            for fname in files:
                  if fname == "__init__.py":
                        continue
                  UpperCAmelCase							     =			str((Path(_snake_case				) / fname).relative_to(_snake_case				)				)
                  UpperCAmelCase							     =			short_path.replace(""".py""" ,			""""""				).replace(os.path.sep ,			"""."""				)
                  if len(submodule.split("""."""				)				) == 1:
                        submodules.append(_snake_case				)
      return submodules


_UpperCamelCase	     =    [
    """convert_pytorch_checkpoint_to_tf2""",
    """modeling_flax_pytorch_utils""",
    """models.esm.openfold_utils""",
]

def _a					(						):







      """simple docstring"""






      from transformers.utils import direct_transformers_import

      UpperCAmelCase							     =			direct_transformers_import(_snake_case				)

      UpperCAmelCase							     =			set(transformers._import_structure.keys()				)
      # This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
      # some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
      # (potentiall re-) add them.
      with open(os.path.join(_snake_case ,			"""__init__.py"""				) ,			"""r"""				) as f:
            UpperCAmelCase							     =			f.read()
      import_structure_keys.update(set(re.findall(R"""import_structure\[\"([^\"]*)\"\]""" ,			_snake_case				)				)				)

      UpperCAmelCase							     =			[
          module
          for module in get_transformers_submodules()
          if module not in IGNORE_SUBMODULES and module not in import_structure_keys
      ]

      if len(_snake_case				) > 0:
            UpperCAmelCase							     =			"""\n""".join(F'''- {module}''' for module in module_not_registered				)
            raise ValueError(
                """The following submodules are not properly registed in the main init of Transformers:\n"""
                F'''{list_of_modules}\n'''
                """Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value."""				)


if __name__ == "__main__":
  check_all_inits()
  check_submodules()





import subprocess
import sys

from transformers import BertConfig, BertModel, BertTokenizer, pipeline
from transformers.testing_utils import TestCasePlus, require_torch

class 							_UpperCamelCase					(       _A	):






			'''simple docstring'''

			@require_torch
			def    lowerCAmelCase__						(							self			:							List[str]   ):
							# this test is a bit tricky since TRANSFORMERS_OFFLINE can only be changed before
							# `transformers` is loaded, and it's too late for inside pytest - so we are changing it
							# while running an external program

							# python one-liner segments

							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				Optional[Any]						=    """
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
        """

							UpperCamelCase_:				List[Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
BertTokenizer.from_pretrained(mname)
pipe = pipeline(task=\"fill-mask\", model=mname)
print(\"success\")
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise RuntimeError(\"Offline mode is enabled, we shouldn't access internet\")
socket.socket = offline_socket
        """

							# Force fetching the files so that we can use the cache
							UpperCamelCase_:				int						=    """hf-internal-testing/tiny-random-bert"""
							BertConfig.from_pretrained(snake_case_   )
							BertModel.from_pretrained(snake_case_   )
							BertTokenizer.from_pretrained(snake_case_   )
							pipeline(task="""fill-mask"""    ,						model=snake_case_   )

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Tuple						=    [sys.executable, """-c""", """\n""".join([load, run, mock]   )]

							# should succeed
							UpperCamelCase_:				Optional[int]						=    self.get_env()
							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				int						=    """1"""
							UpperCamelCase_:				Optional[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							Any   ):
							# python one-liner segments
							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				str						=    """
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
        """

							UpperCamelCase_:				Any						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
BertTokenizer.from_pretrained(mname)
pipe = pipeline(task=\"fill-mask\", model=mname)
print(\"success\")
        """

							UpperCamelCase_:				Optional[int]						=    """
import socket
def offline_socket(*args, **kwargs): raise socket.error(\"Faking flaky internet\")
socket.socket = offline_socket
        """

							# Force fetching the files so that we can use the cache
							UpperCamelCase_:				Optional[int]						=    """hf-internal-testing/tiny-random-bert"""
							BertConfig.from_pretrained(snake_case_   )
							BertModel.from_pretrained(snake_case_   )
							BertTokenizer.from_pretrained(snake_case_   )
							pipeline(task="""fill-mask"""    ,						model=snake_case_   )

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, run, mock]   )]

							# should succeed
							UpperCamelCase_:				List[str]						=    self.get_env()
							UpperCamelCase_:				List[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							int   ):
							# this test is a bit tricky since TRANSFORMERS_OFFLINE can only be changed before
							# `transformers` is loaded, and it's too late for inside pytest - so we are changing it
							# while running an external program

							# python one-liner segments

							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				Dict						=    """
from transformers import BertConfig, BertModel, BertTokenizer
        """

							UpperCamelCase_:				Optional[Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert-sharded\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
print(\"success\")
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise ValueError(\"Offline mode is enabled\")
socket.socket = offline_socket
        """

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Union[str, Any]						=    [sys.executable, """-c""", """\n""".join([load, run]   )]

							# should succeed
							UpperCamelCase_:				Union[str, Any]						=    self.get_env()
							UpperCamelCase_:				List[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

							# next emulate no network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, mock, run]   )]

							# Doesn't fail anymore since the model is in the cache due to other tests, so commenting this.
							# env["TRANSFORMERS_OFFLINE"] = "0"
							# result = subprocess.run(cmd, env=env, check=False, capture_output=True)
							# self.assertEqual(result.returncode, 1, result.stderr)

							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				Union[str, Any]						=    """1"""
							UpperCamelCase_:				int						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							List[str]   ):
							UpperCamelCase_:				Dict						=    """
from transformers import pipeline
        """
							UpperCamelCase_:				Union[str, Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
pipe = pipeline(model=mname)
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise socket.error(\"Offline mode is enabled\")
socket.socket = offline_socket
        """
							UpperCamelCase_:				Optional[Any]						=    self.get_env()
							UpperCamelCase_:				int						=    """1"""
							UpperCamelCase_:				int						=    [sys.executable, """-c""", """\n""".join([load, mock, run]   )]
							UpperCamelCase_:				Any						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						1    ,						result.stderr   )
							self.assertIn(
							    """You cannot infer task automatically within `pipeline` when using offline mode"""    ,						result.stderr.decode().replace("""\n"""    ,						""""""   )    ,						)




			@require_torch
			def    lowerCAmelCase__						(							self			:							Optional[int]   ):
							UpperCamelCase_:				str						=    """
from transformers import AutoModel
        """
							UpperCamelCase_:				Dict						=    """
mname = \"hf-internal-testing/test_dynamic_model\"
AutoModel.from_pretrained(mname, trust_remote_code=True)
print(\"success\")
        """

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, run]   )]

							# should succeed
							UpperCamelCase_:				Optional[Any]						=    self.get_env()
							UpperCamelCase_:				int						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				Union[str, Any]						=    """1"""
							UpperCamelCase_:				List[str]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )






